Randomized Hough Transform: Improved ellipse detection with comparison

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216 Citations (Scopus)


We describe an algorithm for the detection of ellipse shapes in images, using the Randomized Hough Transform. The method is compared with three other Hough-based algorithms. Tests are performed using both noise-free and noisy images, and several real-world images. The algorithm was found to give improvements in accuracy, and a reduction in computation time and the number of false alarms detected. A program allowing the reader to experiment with these algorithms can be found at the WWW address http://ciips.ee.uwa.edu.au/Papers/Journal_Papers/1998/01/Index.html. (C) 1998 Elsevier Science B.V. All rights reserved.
Original languageEnglish
Pages (from-to)299-305
JournalPattern Recognition Letters
Issue number3-4
Publication statusPublished - 1998


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